Avanza Bank Stock Forecast - Naive Prediction

AZA Stock  SEK 217.30  1.40  0.65%   
The Naive Prediction forecasted value of Avanza Bank Holding on the next trading day is expected to be 204.18 with a mean absolute deviation of 3.27 and the sum of the absolute errors of 199.31. Avanza Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Avanza Bank is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Avanza Bank Holding value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Avanza Bank Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of Avanza Bank Holding on the next trading day is expected to be 204.18 with a mean absolute deviation of 3.27, mean absolute percentage error of 15.33, and the sum of the absolute errors of 199.31.
Please note that although there have been many attempts to predict Avanza Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Avanza Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Avanza Bank Stock Forecast Pattern

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Avanza Bank Forecasted Value

In the context of forecasting Avanza Bank's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Avanza Bank's downside and upside margins for the forecasting period are 202.50 and 205.85, respectively. We have considered Avanza Bank's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
217.30
202.50
Downside
204.18
Expected Value
205.85
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Avanza Bank stock data series using in forecasting. Note that when a statistical model is used to represent Avanza Bank stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria120.8403
BiasArithmetic mean of the errors None
MADMean absolute deviation3.2673
MAPEMean absolute percentage error0.014
SAESum of the absolute errors199.3058
This model is not at all useful as a medium-long range forecasting tool of Avanza Bank Holding. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Avanza Bank. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Avanza Bank

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Avanza Bank Holding. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
215.63217.30218.97
Details
Intrinsic
Valuation
LowRealHigh
163.48165.15239.03
Details
Bollinger
Band Projection (param)
LowMiddleHigh
215.14223.46231.77
Details

Other Forecasting Options for Avanza Bank

For every potential investor in Avanza, whether a beginner or expert, Avanza Bank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Avanza Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Avanza. Basic forecasting techniques help filter out the noise by identifying Avanza Bank's price trends.

Avanza Bank Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Avanza Bank stock to make a market-neutral strategy. Peer analysis of Avanza Bank could also be used in its relative valuation, which is a method of valuing Avanza Bank by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Avanza Bank Holding Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Avanza Bank's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Avanza Bank's current price.

Avanza Bank Market Strength Events

Market strength indicators help investors to evaluate how Avanza Bank stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Avanza Bank shares will generate the highest return on investment. By undertsting and applying Avanza Bank stock market strength indicators, traders can identify Avanza Bank Holding entry and exit signals to maximize returns.

Avanza Bank Risk Indicators

The analysis of Avanza Bank's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Avanza Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting avanza stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Thematic Opportunities

Explore Investment Opportunities

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Additional Tools for Avanza Stock Analysis

When running Avanza Bank's price analysis, check to measure Avanza Bank's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Avanza Bank is operating at the current time. Most of Avanza Bank's value examination focuses on studying past and present price action to predict the probability of Avanza Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Avanza Bank's price. Additionally, you may evaluate how the addition of Avanza Bank to your portfolios can decrease your overall portfolio volatility.